An Intelligent and Sustainable Parking Fee Solution through Cloud Deployed Computer Vision solution

George, Ann Mariya (2023) An Intelligent and Sustainable Parking Fee Solution through Cloud Deployed Computer Vision solution. Masters thesis, Dublin, National College of Ireland.

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Abstract

An autonomous parking solution that makes use of number plate recognition and stores data in the cloud as a means of facilitating the tracking and creation of parking solutions more effectively. At the point of entry and leave, the system will automatically recognise vehicles based on the different kinds of number plates which can vary with the fonts and types they display, with the goal of making parking management more efficient. This method does away with the necessity for any manual interventions, which in turn helps to reduce the number of mistakes made by humans and improve parking precision. This system will automatically track the empty parking places and send a notification or availability options for the user which can help in minimising long queues and crowd at any important places like Malls, offices etc. This enables real-time monitoring as well as quick and simple access to parking records. The cloud storage provided by the technology makes for easy data administration and makes it possible for parking authority to monitor car movements, occupancy levels, and parking times. In addition, the database has the capability of generating in-depth reports and analytics, which contribute to improved decision-making and the optimum distribution of parking resources.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Arun, Shreyas Setlur UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	28 Mar 2025 09:24
Last Modified:	28 Mar 2025 09:24
URI:	https://norma.ncirl.ie/id/eprint/7344

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